Who You'll Work With
Nicolas Debaene
Founder & CEO, Sonarium Labs
Telecom ParisTech Graduate
Previously at
10+ years building production ML systems for the kind of problems energy platforms run on: forecasting under uncertainty, optimization with real constraints, and decision support where being wrong costs money.
At BNP Paribas, quantitative finance models — the same mathematical toolkit behind energy trading, hedging, and PPA valuation. At Rappi, logistics optimization at scale across Latin America — structurally similar to grid balancing and asset optimization.
He founded Sonarium Labs to apply that experience to energy — building and evaluating AI systems where better models translate directly into measurable outcomes.
“The questions that matter aren't usually in the pitch deck. Is the forecasting accuracy real? Is the optimization solving the stated problem? What breaks when the team that built it leaves?”— Nicolas Debaene, Founder of Sonarium Labs
What We Do
We build and evaluate AI systems for energy — from forecasting models to production pipelines — across three dimensions that matter.
Accuracy
Is the model performance real — or measured against a weak baseline?
Why It Matters
Energy platforms where a model that's 95% accurate on average can be worthless during the 5% of hours that drive P&L.
What We Evaluate
- →Baseline and benchmark validation
- →Data leakage and split analysis
- →Distribution shift detection
- →Tail-risk performance assessment
Transparency
The best ML systems aren't the most sophisticated — they're the ones operators trust and use.
Why It Matters
Regulated energy markets where decisions are auditable, and explainability isn't a nice-to-have.
What We Evaluate
- →Model explainability assessment
- →Calibrated uncertainty evaluation
- →Graceful failure analysis
- →Operator trust and adoption review
Data Security
Full pipeline assessment: provenance, access controls, lineage, and regulatory posture.
Why It Matters
Critical infrastructure platforms handling sensitive operational data with GDPR, NIS2, and sector-specific compliance requirements.
What We Evaluate
- →Data provenance and lineage audit
- →Access control and exposure review
- →Third-party model and API risks
- →Regulatory compliance assessment
See If We're a Fit
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